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AI Engineer — Speech & Voice Intelligence

CNTXT AI
Abu Dhabi, UAE
Full Time
Mid
2 days ago
Machine LearningDeep LearningSpeech Synthesis (TTS)Speech Recognition (ASR)PythonPyTorch
Free

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Machine LearningDeep LearningSpeech Synthesis (TTS)
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About CNTXT

  • CNTXT is building voice AI infrastructure for the Arabic speaking world. We work on the hard problems — natural speech synthesis, real time transcription, and conversational voice systems — with a focus on Arabic language quality that actually serves the region's speakers.

The Role

  • We're looking for an AI engineer or researcher who is passionate about voice and speech technology. You'll work directly on the models and systems that power our speech products — evaluating architectures, running fine tuning experiments, and shipping improvements to production. This is a hands on r

What You'll Work On

  • Benchmark and evaluate TTS and ASR models on Arabic test sets — measuring WER, speaker similarity (SIM), naturalness, and dialect coverage across MSA and regional varieties
  • Fine tune pretrained TTS models on curated Arabic data — including ablations on diacritized vs. undiacritized input, dialect specific training splits, and voice prompt conditioning
  • Experiment with audio tokenizer and codec configurations — comparing discrete RVQ representations against continuous latent approaches and their effect on Arabic phoneme accuracy
  • Build and maintain Arabic speech data pipelines — audio sourcing, normalization, diacritization, quality filtering, and manifest generation for model training
  • Optimize models for production serving — streaming chunk generation, KV cache tuning, quantization, and batched inference for low latency Arabic TTS and ASR
  • Evaluate and adapt speech to speech pipelines — integrating ASR, LLM, and TTS components with attention to end to end latency and Arabic conversational quality

What We're Looking For

  • Strong foundations in machine learning and deep learning
  • Hands on experience training or fine tuning neural models — domain matters less than depth
  • Comfortable with Python, PyTorch, and the HuggingFace ecosystem
  • Able to read research papers and translate ideas into experiments independently
  • Clear communicator who can work across research and engineering

Nice to Have

  • Native or fluent Arabic speaker — a real advantage when evaluating synthesis naturalness and dialect quality
  • Prior work with speech or audio models (ASR, TTS, speaker verification, codec, VAD, enhancement, or similar)
  • Familiarity with Arabic linguistic structure, diacritization tools, and NLP preprocessing for Arabic
  • Experience with inference optimization — quantization, speculative decoding, CUDA kernels, or serving frameworks (vLLM, TensorRT)
  • Publications or open source contributions in speech or audio

What We Offer

  • Work at the frontier of Arabic voice AI — a genuinely underserved, high impact area
  • Direct influence on product and research direction
  • Small, focused team — your work ships and matters
  • Competitive compensation and remote flexibility

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